Intern, Data Science

Overview

Cvent is a global meeting, event, travel, and hospitality technology leader, with more than 4,300+ employees worldwide. As a leading cloud-based technology company, we have over 28,000+ customers, including 80% of the Fortune 100 companies, in more than 100 countries.

Cvent's software solutions optimize the entire event management value chain and have enabled clients around the world to manage hundreds of thousands of meetings and events. In addition to helping event planners navigate every aspect of the event process, we also provide an integrated platform to hoteliers to help create qualified demand for their hotels, manage that demand more efficiently, and measure their business performance in real-time.

In This Role, You Will

Cvent Data Science team is looking to hire Intern and is currently accepting applications. The selected incumbent will typically focus on data analysis, ML modeling and Generative AI data products. He / she would be involved in analysis for various areas across the organization i.e., in Sales, Marketing, Technology, & Client Services. The person is expected to understand end-to-end business processes. Independently extract, prepare, and analyze data to support business initiatives (e.g., revenue, profitability, performance, variance analysis etc.). Develop solutions with minimal support. Develop strategies using techniques and algorithms of data analysis & machine learning models for making meaningful and actionable recommendations. Present and share data with other team members and to leadership.

What You Will Be Doing

• Stakeholder Management
• Collaborate with stakeholders at different levels to understand current processes, data being generated and identify optimization or growth opportunities.
• Strong ability to augment data and insights to drive scale and efficiency for our stakeholders and partners.
• Data Analysis & Modeling
• Person would be required to work individually or as part of a team on data science & analytical projects.
• Define business problem and translate it into statistical / analytical problem.
• He / she would be developing statistical / machine learning models using various techniques (supervised, unsupervised, semi-supervised) and technologies including but not limited to Python, SQL, Databricks, Snowflake, ChatGPT, AWS, Excel etc.
• He would be required to leverage NLP techniques for Topic Modelling and Keywords extraction.
• He would be required to leverage Open AI (Chat-GPT) for various tasks like text summarization and categorization, data gathering and analysis for generating interactive insights.
• Create data products on Streamlit and Sigma backed by machine learning models in conjunction with Chat-GPT

Here's What You Need

Skills Required

Sigma, snowflake , Databricks, Excel, Python, Sql, Aws